Predicting young consumers' take up of mobile banking services

By Nicole Koenig‐Lewis, Adrian Palmer, Alexander Moll. 2010

708 citations recorded by the source corpus.

Subfields: Information Systems and Management, Organizational Behavior and Human Resource Management, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/5fc6c38a279f975bb13bfd97d96861a2356611a7

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In Information Systems and Management

In Organizational Behavior and Human Resource Management

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Citations in the corpus

Extending the UTAUT model to understand the customers' acceptance and use of internet banking in Lebanon: A structural equation modeling approach (2016, result): “Even though this finding is inconsistent with previous research (Venkatesh et al. , 2003; Venkatesh and Zhang, 2010), it is similar to those of Yu (2012), and Koenig-Lewis et al. (2010).”
An investigation of users’ continuance intention towards mobile banking in China (2016, background): “, 2011): innovation diffusion theory (IDT) (Suoranta and Mattila, 2004; Riquelme and Rios, 2010; Koenig-Lewis et al., 2010; AI-Jabri and Sohail, 2012): (decomposed) theory of planned behavior (DTPB/TPB) (Brown et al.”
Mobile Banking Adoption: Application of Diffusion of Innovation Theory (2012, background): “…these attributes, particularly those of relative advantage, ease of use, and compatibility, as the most frequently salient factors for adoption of Internet and mobile technologies [for example, Koenig-Lewis et al. 2010; Liu & Li 2010; Papies & Clement 2008; Park & Chen 2007; Vijayasarathy 2004].”
NFC mobile credit card: The next frontier of mobile payment? (2014, background): “Criteria: Cronbach's a > 0.70 (Nunnally and Bernstein, 1994), composite reliability, CR > 0.70, Average variance extracted (AVE) > 0.50 (Hair et al., 2010).”
Consumer use of mobile banking (M-Banking) in Saudi Arabia: Towards an integrated model (2019, background): “Theoretically, a number of different studies have noticed the non-significant impact of effort expectancy (i.e. Brown et al., 2003; Koenig-Lewis et al., 2010; Wessels and Drennan, 2010; Wu and Wang, 2005; Yu, 2012; Zhou et al., 2010).”
A meta-analysis of antecedents and consequences of trust in mobile commerce (2020, background): “For example, Koenig ‐ Lewis, Palmer, and Moll (2010) suggested that there is an indirect relationship between trust and customers' behavioral intention to use mobile banking, Hana ﬁ zadeh, Behboudi, Abedini, Jalilvand, and Tabar (2014) found evidence for the direct e ﬀ ect of trust on mobile…”
Mobile banking adoption: A literature review (2015, background): “Consumer segmentation (Koenig-Lewis et al., 2010), targeting marketing communication by gender (Riquelme and Rios, 2010), and seamlessly integrating mobile technology services and applications into ordinary banking activities (Yang, 2009) emerged among multiple marketing and business strategies that”
Determinants of end-user acceptance of biometrics: Integrating the "Big 3" of technology acceptance with privacy context (2013, background): “[49] acknowledges that compatibility not only had a strong direct effect but was also identified as an important antecedent for perceived ease of use and perceived usefulness.”
Mobile-banking adoption by Iranian bank clients (2014, methodology): “(2012), http://dx.doi.org/10.1016/j.tele.2012.11.001 Koenig-Lewis et al. (2010) conducted as study entitled as predicting the continuation of the use of M-banking services by young users in England, aiming at investigation of barriers of M-banking adoption.”
Predicting the intention to use mobile banking in India (2018, background): “…in India, as well as in other developed and developing countries (Kleijnen et al., 2004; Laforet & Li, 2005; Luarn & Lin, 2005; Amin et al., 2008; Mallat & Tunaein, 2008; Gu et al., 2009; Koenig-Lewis et al., 2010; Dasgupta et al., 2011; Samudra & Phadtare, 2012; Hanafizadeh et al., 2014).”